Geek Guild – New Releases

Blog: Small Train 0.2.1 Released

Wed, 27 Jan 2021 00:00:00 +0000

《Commercial Available》Deep Learning Framework “Small Train 0.2.1” Released

Geek Guild Co., Ltd. (Headquarters: Kyoto City) is a deep learning framework “Small Train ver.0.2.1” that can be used to develop highly accurate AI-learned models for commercial AI services. The source code has been released.It’s open source, so anyone can use it for free. This version supports the Jupyter Notebook interface.

For ease of use, we’ve made it easier to run SmallTrain on your Jupyter Notebook. Please seeSmallTrain websiteFor more information.

Blog: Start of Kyoto Pharmacy Project

Wed, 16 Dec 2020 00:00:00 +0000

”Send a prescription, and you will receive the medicine,“ Kyoto Pharmacy Project starts.

Geek Guild Co., Ltd. (Location: Nishikyo-ku, Kyoto), which provides AI research and development and AI services, started the “Kyoto Pharmacy Project” on December 16, 2020 (Wednesday) to digitize pharmacies.

This project aims for patients to send prescription data and deliver the medicine to their homes via the prescription pharmacy. Using AI-OCR, we will support the conversion of clerical work at prescription pharmacies to the online pharmacy that is in line with the trend of digitalization in fit to the corona society.

This time, as a first step, we are looking for pharmacies to participate in the project. Participation is free, and the pharmacies will be posted on the project site.

京都の薬局.net： https://kyoto-yakkyoku.nets
Geek Guild　　： https://www.geek-guild.jp/

対象　　：京都府内の処方箋薬局　※主に、個人経営の中小規模薬局
目的　　：薬局のデジタル化やAI導入を推進し、　　　　　コロナ後の京都の人々の暮らしに溶け込む新たな薬局づくりを支援
参加費　：無料
申込方法：電話、メールまたはFAXよりお申し込みください
※詳細はお申し込み後にご連絡いたします

Blog: 《Commercial use》 Deep learning framework “SmallTrain 0.2.0” released

Mon, 09 Nov 2020 00:00:00 +0000

Release of Deep Learning Framework “SmallTrain 0.2.0” For Professional/Commercial Use

Artificial Intelligence Open-Source Software project that ensures professional usability

Kyoto, Japan - Geek Guild Co., Ltd. announced the Open-Source Software (OSS) project, “SmallTrain,” which generates user-friendly deep learning models for high accuracy and high functionality as a standalone deep learning library and as a wrapper for TensorFlow and PyTorch. The trained model built with SmallTrain 0.2.0 can be used commercially. The source code is open-source, free to use, and released for commercial use. We have released the source code with the desire to “Deliver Artificial Intelligence (AI) that can withstand commercial and professional use.”

Artificial General Intelligence OSS Goal

During the recent AI boom, companies develop customized “Narrow AI,” which are active only in limited use cases. Here in Geek Guild, we believe AI is fundamental for machines to help humanity build symbiotic spheres as “Harmonic AI,” aiming to integrate independent AI for developing general-purpose AI.

SmallTrain is an OSS framework that enables you to develop transfer learning models pre-trained in various data. Here, you can rapid-develop hi-accuracy deep neural-network without large training-data requirements. “SmallTrain” uses 60+ layers of pyramid neural-network architecture build from state-of-the-art cutting edge algorithms, our “Harmonic AI” which are pre-trained for different use cases and data-science problems, the accuracy doesn’t drop even with minimal available training data as normal “Narrow AI” does.

Background of SmallTrain OSS Project

As AI development from amateur to advance is a steep learning curve, developing an AI model is a tedious task. It requires a lot of in-depth knowledge of data science. Due to this, many data science enthusiasts find difficulty in this field. Here at Geek Guild, we developed SmallTrain with the philosophy that “Instead of you, we do the heavy lifting.” This means “SmallTrain” enables you to quickly and efficiently build a learning model, even with the minimal data-science background, while maintaining quality service operable condition.

Advantages of SmallTrain

Rapid development from POC to production with a minimal data-science background. Almost no programming for building your pre-trained model. Available as TensorFlow and PyTorch wrapper. Build using state-of-the-art algorithms from AI research papers. Accuracy will be better, even with minimal data and training time, SmallTrain is pre-trained in Multi data-Science problems. Licensed under MIT Open Source. So no worries about bug fixes or improvements on your own. Collaboration is the key.

SmallTrain Overview

The AI model that Geek Guild uses for R&D and contract projects is OSS. It’s a deep learning framework developed as a library for convenient use and as a wrapper. Kyoto Economic Gardening Program adopts the project. Please visit our website and GitHub page for more info.

https://github.com/geek-guild/smalltrain https://www.smalltrain.org/

Blog: 《For Professional/Commercial Use》Limited Release of Deep Learning Framework, SmallTrain 0.1.2

Wed, 27 Mar 2019 00:00:00 +0000

Geek Guild Co., Ltd. starts an open source project of “SmallTrain”, which pursues high accuracy and high functionality, with a function as a wrapper for TensorFlow and PyTorch and as a library that provides original algorithms.
It starts on Wednesday, April 15, 2020.
First of all, it is open to registered users only, and the trained model built with SmallTrain 0.1.2 is used commercially.
Registered users are able to experience how easy it is to build a high-accuracy, trained model that can withstand commercial use, and contribute (contribute) to improving the source code.

See SmallTrain site for more imformation.

Artificial General Intelligence Open Source Goal

In the context of the third AI boom that began with deep learning, many companies are developing their own AI. However, each type of AI is classified as a “Narrow AI” and is only active in the industry for limited uses. We are convinced that AI technology is a fundamental technology for machines to help humanity and build symbiotic spheres.
As a platform for that, we propose “Harmonic AI”. Let’s help each other with their own small data, aiming for a better society, by integrating the AI that they have independently developed and forming a general-purpose AI!

Three Advantages of SmallTrain

１．Free and easy creation of commercially available AI models equipped with cutting-edge AI algorithms ２．Use as a trained model that supports small data can significantly reduce man-hours ３．As a wrapper* for both TensorFlow and PyTorch, a library function to provide unique algorithms will be installed

What is a wrapper? …wrapping a library such as TensorFlow or PyTorch, and users can access the library via the wrapper so that even if the library is replaced or the interface of the library is changed, the changes are stopped only inside the wrapper and the effect of the change are stopped.

SmallTrain Open Source Project Contributor

１．Environment where you can work remotely (using version control system GitLab) ２．OSS project contributing experience ３．AI model development experience

Background of the SmallTrain Open Source Project

AI development is difficult due to the need for data science background and advanced programming skills.
In addition, there are methods that can be used to build AI using open source libraries, etc., but it is hard to say that quality can withstand service operation.
Therefore, Geek Guild released the source code of the AI model developed in-house and started a project for public use for service development.

How to Use SmallTrain

This version introduces how to create an image recognition model as an introduction.
It can be used for a wide range of AI services such as time-series data prediction and voice recognition,
and also it can be used as a wrapper for libraries, TensorFlow, and PyTorch.

See SmallTrain.org/about for more information.

１. A Library of Deep Learning models, and a wrapper

There are three main ways to create AI models:

Understand algorithms and mathematics and build your own model
Algorithms and mathematical functions are self-made using calculation libraries such as TensorFlow
Easily create models using wrappers to call calculation libraries (most man-hours can be reduced)

SmallTrain aims to be a wrapper equivalent to Keras.

The difference from Keras
Keras is suitable for PoC, SmallTrain is for both PoC and commercial use.
The similarity to Keras
It is easy to use for beginners.

２. Wrapping TensorFlow mathematical functions

３. You can call mathematical functions of both PyTorch and TensorFlow.

４. You can also call SmallTrain’s own calculation library.
We read the state-of-the-art papers and implement the cutting edge of algorithms.

５. AI model of SmallTrain
Using TensorFlow, PyTorch, and unique mathematical functions, we have built a deep neural network* with more than 60 layers.

* It is a deep neural network that holds Pyramid Network and can produce highly accurate results, and also it incorporates CNN and other techniques.

６. Trained model
SmallTrain has been learned.
It is highly versatile and supports all kinds of data, and learns with various data such as image data and time series data.

７. Providing your own trained model
By inputting user’s data, you can easily build your own trained model. Getting Started describes how to recognize images as an introduction. It supports various data.

SmallTrain and Geek Guild are trademarks of Geek Guild Co., Ltd.
TensorFlow is a trademark or registered trademark of Google LLC.
All other trademarks are property of their respective owners.